How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Master)

Stat	Per game	Total	Percentile in tier
Points	302.16	5741	14th
Goals	0.58	11	23rd
Assists	0.63	12	69th
Saves	1.16	22	26th
Shots	2.05	39	17th
Demos	0.63	12	10th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Master
Points	302.16	#742 / 1215	#67 / 107
Goals	0.58	#727 / 1215	#60 / 107
Assists	0.63	#291 / 1215	#24 / 107
Saves	1.16	#623 / 1215	#58 / 107
Demos	0.63	#729 / 1215	#70 / 107

60% of the season is played (19 → ~32 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	5741	9669	9850	9750 – 9950
Goals	11	19	19	15 – 24
Assists	12	20	20	15 – 24
Saves	22	37	38	32 – 44
Shots	39	66	68	59 – 76
Demos	12	20	22	17 – 27
MVPs	1	2	2	1 – 4

From 17 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	405.3
Avg boost	49.3
Boost stolen / game	516.3
% time at 0 boost	12.4%
Avg speed (uu/s)	1527.6
% supersonic	12.8%
% time high in air	5.6%
Avg distance to ball	2764.6
% time attacking third	20.2%
Demos / game	0.7
Demos taken / game	1.1
Shooting %	30.6%

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.65	0.58	0.5 – 0.67
Assists/game	0.71	0.65	0.6 – 0.68
Saves/game	1.24	1.24	1.17 – 1.32
Shots/game	1.94	2.15	2.0 – 2.23

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Kaye	S23	Challenger	0.68	0.71	1.24	0.53
BankShark	S23	Veteran	0.55	0.67	1.36	0.76
Rev	S14	Elite	0.62	0.62	1.25	0.82
AcX	S24	Master	0.74	0.67	1.24	0.85
snugcore	S26	Master	0.66	0.66	1.34	0.89
bosco	S18	Master	0.5	0.67	1.17	0.91
Angry-Hermit	S26	Contender	0.63	0.82	1.11	0.98
CFBEAR8831	S18	Prospect	0.5	0.75	1.25	1.03
Cundy	S22	Veteran	0.43	0.67	1.18	1.07
Cr1m5on_RL	S25	Challenger	0.58	0.58	1.39	1.12

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.